Cloud-Geospatial Platform Architect

Lynker Corporation

Boulder (CO)

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Healthcare for employee

401(k) with company match

ESOP

Paid time off

Tuition assistance

Annual bonus program

Learning Management System access

Career growth plans

Job summary

Lynker Corporation is seeking a Geospatial Platform Lead to own the architecture of a cloud-native geospatial platform delivering scalable data products across APIs and partners. You will coordinate across Science, Applications, and Engineering teams and mentor engineers to implement robust, reproducible data pipelines.

The role requires strong experience with AWS, Terraform/CloudFormation, TiTiler, STAC, and large-scale geospatial processing.

Qualifications

Bachelor's or Master's in geospatial science, computer science, engineering, environmental or earth science, or equivalent hands‑on experience in place of a degree.
Several years building and operating cloud‑native geospatial or data platforms (roughly 5+ years, or equivalent depth of experience).
Strong Python and production software practices, including Git, testing, and CI/CD.
Hands‑on AWS experience (our primary cloud) and Infrastructure‑as‑Code (e.g., Terraform or CloudFormation).
Experience with cloud‑native geospatial formats and serving (COG, GeoParquet, STAC/pgSTAC, TiTiler, or comparable).
A track record of setting technical direction and mentoring engineers.

Responsibilities

Platform architecture: own the architecture of the geospatial platform: cloud‑native data (STAC, cloud‑optimized formats), the serving and tiling layer (e.g., TiTiler), and the pipelines that scale model and map outputs.
Data at scale: translate science outputs into reliable, versioned data products and interfaces for applications, partners, and the public.
Standards & reliability: set engineering standards, including Infrastructure-as-Code on AWS; keep the platform reliable, secure, and interoperable; and own the roadmap for how it scales.
Cross‑team alignment: share goals, schemas, and delivery patterns with the teams that produce our data and analytics so that products and platform interfaces line up.
Technical leadership: set technical direction for the cloud‑native geospatial developers, coordinate across the Science, Applications, and Engineering teams, and mentor team members.
Delivery: keep the platform's data discoverable, reproducible, and operationally reliable for the applications, APIs, and partners that consume it.